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pro vyhledávání: '"William Maslanka"'
Soil moisture is a critical component in many hydrological, agricultural, and meteorological applications and processes, and understanding the spatiotemporal dynamics and changes is critical to further their understanding. They are also an important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c67558b80f4db273cbb8276cd77a2694
https://doi.org/10.5194/egusphere-egu22-9798
https://doi.org/10.5194/egusphere-egu22-9798
Spatiotemporal distribution of soil moisture is important for hydrometeorological and agricultural applications. There is growing interest in monitoring soil moisture in relation to soil- and land-based natural flood management (NFM), to understand t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d4f7ad12b1bd4d0ace6973b501bd3a9
https://centaur.reading.ac.uk/105497/1/Retrieval_of_Sub-Kilometric_Relative_Surface_Soil_Moisture_With_Sentinel-1_Utilizing_Different_Backscatter_Normalization_Factors.pdf
https://centaur.reading.ac.uk/105497/1/Retrieval_of_Sub-Kilometric_Relative_Surface_Soil_Moisture_With_Sentinel-1_Utilizing_Different_Backscatter_Normalization_Factors.pdf
Autor:
Juha Lemmetyinen, Andreas Wiesmann, Nicolas Floury, William Maslanka, Marie Dumont, Richard Essery, Melody Sandells, Anna Kontu, Christian Mätzler, Samuel Morin, Henning Löwe, Ghislain Picard
The modular Snow Microwave Radiative Transfer (SMRT) model simulates microwave scattering behavior in snow via different selectable theories and snow microstructure representations, which is well suited to intercomparisons analyses. Here, five micros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de332943e8df8c6b8c0f3362e682db8a
https://centaur.reading.ac.uk/101250/9/X-Ray_Tomography-Based_Microstructure_Representation_in_the_Snow_Microwave_Radiative_Transfer_Model.pdf
https://centaur.reading.ac.uk/101250/9/X-Ray_Tomography-Based_Microstructure_Representation_in_the_Snow_Microwave_Radiative_Transfer_Model.pdf
Autor:
Mel Sandells, Juha Lemmetyinen, Martin Proksch, William Maslanka, Henna-Reetta Hannula, Anna Kontu, Margret Matzl, Martin Schneebeli, Robert J. Gurney, Leena Leppänen
Publikováno v:
Geoscientific Instrumentation, Methods and Data Systems, Vol 5, Iss 1, Pp 85-94 (2016)
The Arctic Snow Microstructure Experiment (ASMEx) took place in Sodankylä, Finland in the winters of 2013–2014 and 2014–2015. Radiometric, macro-, and microstructure measurements were made under different experimental conditions of homogenous sn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21e01da321198a89862bc513d8d1fde2
http://www.geosci-instrum-method-data-syst.net/5/85/2016/gi-5-85-2016.pdf
http://www.geosci-instrum-method-data-syst.net/5/85/2016/gi-5-85-2016.pdf
